$GLM Catalyst Posts
July 29, 2026Single-day social intelligence recap and verified catalyst posts · ← Back to $GLM Profile · Market Rankings
💬 Curated Viral Posts & Community Evidence
3 source posts analyzed· 2026-07-29T09:26:13+00:00We added a setup guide for using GLM in Pi. GLM Coding Plan is supported.
· 2026-07-29T14:06:08+00:00@ 200w per card stacked back to back we get 70 tok/s single stream for GLM-5.2 On my new gen5 build. Setup fan curve super aggressive hitting 100% @ 75c Tested this with sustained throughput, at 200w the fans are able to bring the temps down faster than inference heats em
AI visual analysis: A screenshot of an active inference status dashboard for GLM-5.2-EXL3 running on a vllm/cuda:8080 server, showing 70.6 tok/s decode throughput, 836ms TTFT, 800W/800W power draw, and four GPUs (G0-G3) each running at 93°C/99% utilization/200W—visually confirming the tweet's claim of 70 tok/s single-stream performance on a new Gen 5 build with aggressive fan cooling.
· 2026-07-29T15:52:37+00:00GLM Coding Plan is supported! Let's get ready for GLM 5.5 in Pi.